ABSTRACT
The past decade has witnessed a marked shift in research and clinical efforts toward scalable approaches to eating disorder (ED) treatment, driven by the need to overcome barriers related to cost, access, and specialist availability. This shift has given rise to a diverse range of scalable treatment options, spanning abbreviated versions of traditional therapy protocols, digitally delivered interventions in the form of web-based programs, smartphone apps, and chatbots, and highly concentrated, mechanism-focused approaches designed to be delivered within a single session. The purpose of this narrative review is to provide a broad overview of scalable treatments for non-underweight EDs by synthesizing empirically mature evidence and highlighting key trials, outcome studies, and meta analyses that can guide future innovation and implementation. Emerging research supports the promise of these approaches, with scalable interventions producing meaningful improvements in symptoms, wellbeing, and comorbid mental health problems. While these findings highlight the promise of scalable treatment formats for non-underweight EDs, translating this progress into lasting, population-level impact will require a unified research agenda that redefines how such interventions are conceptualized, tested, and embedded with the broader mental health ecosystem. Advancing this next phase of progress will hinge on several key research priorities, including redefining the ED workforce to leverage competent generalists to deliver structured interventions, developing data-driven recommendation systems that personalize care through adaptive algorithms, and building and piloting interoperable infrastructures that seamlessly integrate digital and human-delivered services.